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Hongyi Wang
Hongyi Wang
andrew.cmu.edu의 이메일 확인됨 - 홈페이지
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Federated Learning with Matched Averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
ICLR 2020 - International Conference on Learning Representations, 2020
3412020
Atomo: Communication-efficient learning via atomic sparsification
H Wang, S Sievert, S Liu, Z Charles, D Papailiopoulos, S Wright
Advances in Neural Information Processing Systems 31, 2018
2342018
Draco: Byzantine-resilient distributed training via redundant gradients
L Chen, H Wang, Z Charles, D Papailiopoulos
International Conference on Machine Learning, 903-912, 2018
197*2018
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
169*2020
Attack of the tails: Yes, you really can backdoor federated learning
H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ...
Advances in Neural Information Processing Systems 33, 16070-16084, 2020
1362020
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
962021
DETOX: A redundancy-based framework for faster and more robust gradient aggregation
S Rajput, H Wang, Z Charles, D Papailiopoulos
Advances in Neural Information Processing Systems 32, 2019
692019
ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding
H Wang, Z Charles, D Papailiopoulos
https://arxiv.org/abs/1901.09671, 2019
46*2019
The effect of network width on the performance of large-batch training
L Chen, H Wang, J Zhao, D Papailiopoulos, P Koutris
Advances in Neural Information Processing Systems 31, 2018
182018
Adaptive Gradient Communication via Critical Learning Regime Identification
S Agarwal, H Wang, K Lee, S Venkataraman, D Papailiopoulos
Proceedings of Machine Learning and Systems 3, 55-80, 2021
112021
On the utility of gradient compression in distributed training systems
S Agarwal, H Wang, S Venkataraman, D Papailiopoulos
Proceedings of Machine Learning and Systems 4, 652-672, 2022
102022
Pufferfish: communication-efficient models at no extra cost
H Wang, S Agarwal, D Papailiopoulos
Proceedings of Machine Learning and Systems 3, 365-386, 2021
92021
Recognizing actions during tactile manipulations through force sensing
G Subramani, D Rakita, H Wang, J Black, M Zinn, M Gleicher
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
52017
Avoiding negative transfer on a focused task with deep multi-task reinforcement learning
YLAGS Liu, H Wang, Y Liang, A Gitter
22017
Rare Gems: Finding Lottery Tickets at Initialization
K Sreenivasan, J Sohn, L Yang, M Grinde, A Nagle, H Wang, K Lee, ...
arXiv preprint arXiv:2202.12002, 2022
12022
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients
L Chen, L Chen, H Wang, S Davidson, E Dobriban
arXiv preprint arXiv:2110.01595, 2021
2021
Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace
L Chen, H Wang, L Chen, P Koutris, A Kumar
Proceedings of the 2019 International Conference on Management of Data, 1885 …, 2019
2019
Convergence and Runtime of Approximate Gradient Coded Gradient Descent
H Wang, Z Charles, D Papailiopoulos
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